ClickStack and Hud bring runtime intelligence to AI-powered development

ClickHouse and Hud have announced an integration intended to help engineering teams safely develop, deploy, and maintain increasing amounts of AI-generated code by combining service-level observability with function-level runtime analysis. ClickStack uses OpenTelemetry traces, logs, and infrastructure data to identify affected services, deployments, and endpoints, while Hud’s Runtime Code Sensor automatically captures detailed behavior within application functions, linking production issues to source code and recent changes without manual instrumentation. Shared trace IDs connect the platforms’ datasets, allowing engineers or coding agents to move from broad operational alerts to code-level causes, or from a problematic function to relevant logs and traces. The combined approach supports pre-deployment risk assessment based on real production behavior, post-release regression monitoring, automated triage and remediation workflows, and informed rollback or fix decisions, with the goal of making AI-assisted software delivery faster while retaining operational confidence.

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